96results about How to "Improve access speed" patented technology

The invention discloses a power grid fault online identification system and method based on big data, and relates to the technical field of power systems, and the method comprises the steps: collecting multi-source data of a power grid system through a sensor; data filtering is performed through a hierarchical storage strategy, a data lake is constructed in combination with multi-dimensional data indexes, and multi-source data is stored in a classified manner; aggregating and converting data in a data lake by adopting a real-time stream processing framework, and extracting high-dimensional features related to a fault by combining wavelet transform with principal component analysis; based on the high-dimensional features, identifying the real-time state of the power grid by using a graph neural network in combination with a deep learning model; and according to the identification result of the real-time state, combining a power grid topological structure, and carrying out fault positioning through a time difference method and a graph theory algorithm. The power grid fault on-line identification system based on big data provided by the invention can efficiently manage and store a large amount of multi-source data in a power grid, and improves the data processing and access speed.

The invention discloses a data storage system of a digital country based on cloud computing, which comprises a client, a data transmission module and a cloud computing center, relates to the technical field of data storage, stores hot data on a high-performance hot data storage layer, ensures that frequently accessed data can be quickly responded, improves the system performance, and at the same time, stores the hot data on a high-performance hot data storage layer. The cold data is stored in a low-performance cold data storage layer, the storage cost is reduced, effective balance of performance and cost is achieved, the data is automatically migrated among different storage layers along with change of data access frequency, so that the performance and the cost are balanced, the frequently accessed data is migrated into a cache, the access speed of the data is increased, and the data access efficiency is improved. And establishing a relationship between a time interval and a data type of historical data, predicting data which are possibly accessed in a given time interval, adding the data into the cache, dynamically adjusting the cache, and ensuring the validity of the cache.

The invention relates to the technical field of hierarchical storage, in particular to a photo-electromagnetic storage method and system based on hierarchical management, and the method comprises the following steps: collecting read-write speed, error rate, durability and cost data of optical storage and electromagnetic storage media, carrying out the sorting and grading processing of the data according to the read-write speed and the error rate, and carrying out the sorting and grading processing of the data; and performing score calculation on each storage medium to obtain a medium performance score. According to the method and the device, the data is effectively distributed to the most suitable storage medium by accurately scoring the performance of the storage medium and combining specific requirements of the to-be-stored data, so that the data access speed and efficiency are improved, the total storage cost is reduced, and particularly, when a large amount of data is processed, the data compression level and the encoding format are dynamically adjusted, and the data compression efficiency is improved. The storage efficiency of the data is further optimized, data redundancy is reduced, the overall performance of data storage and access is remarkably improved through optimization measures, and meanwhile long-term safety and integrity of the data are ensured.

The invention relates to the field of technical data acquisition, and particularly discloses a data acquisition method and device for an industrial Internet of Things and a storage medium, and the method comprises the following steps: S1, constructing a dynamic sensor network, and collecting the operation data of industrial equipment in real time through a multi-modal sensor; s2, dynamically adjusting a data acquisition frequency # imgabs2 # based on an environment noise coefficient # imgabs0 # and an equipment health index # imgabs1 #; s3, performing hierarchical compression and encryption on the acquired data, and allocating a compression rate # imgabs4 # and encryption strength # imgabs5 # according to data type importance # imgabs3 #; s4, executing load balancing through an edge computing node, and distributing a computing task to an optimal node; and S5, storing the processed data into a distributed database according to spatial-temporal correlation, and generating a multi-copy disaster recovery index. Through dynamic acquisition, intelligent processing, optimized storage and adaptive strategy adjustment, accurate and efficient data acquisition is realized, data security and processing performance are flexibly guaranteed, storage query efficiency and disaster tolerance capability are improved, and storage resources are utilized to the maximum extent.

The invention relates to the technical field of computer storage, in particular to an intention perception data prefetching method and device of solid-state storage equipment and a storage medium. The method comprises the following steps: collecting user behavior data, wherein the user behavior data comprises an application use frequency, file access time, a system call log, a hard disk reading track and network flow information; classifying, filtering and preprocessing the collected user behavior data to generate a time sequence and a behavior sequence, and mapping the time sequence and the behavior sequence into multi-dimensional feature vectors; according to the intention perception data prefetching method of the solid-state storage device, dynamic and efficient data prefetching is achieved in combination with real-time analysis of the user operation intention, and the data access speed and the overall performance of the solid-state storage device are improved.

The invention discloses a hot patching method and related equipment for MIPS architecture software, and the method comprises the steps: making a hot patch corresponding to a to-be-patched function by using a pre-written patch making script, and compiling the hot patch to a dynamic library; loading the dynamic library, and putting a hot patch corresponding to the dynamic library into a memory of the MIPS architecture software; closing an instruction cache component of each processor in the MIPS architecture software, and reading and writing a memory to obtain a hot patch; and performing patch application on the hot patch to realize hot patch processing for the to-be-patched function. According to the method, hot patching of the MIPS architecture software of the multi-core processor is realized, and software defects can be quickly and safely repaired.

The invention relates to the technical field of data encryption, in particular to an intelligent medical information data encryption method and system and a medium. The method comprises the following steps: acquiring medical information data by using an electronic health recording system; initial AES-256 encryption is conducted on the collected medical information data, the encrypted medical information data are stored in a database, a medical information encryption database is obtained, and the medical information encryption database comprises at least one medical information record; and carrying out expiration timestamp distribution on each medical information record to obtain a medical information encryption expiration timestamp. According to the method, efficient and safe management of medical information data is realized through dynamic management of encryption strength, expiration time check and intelligent contract optimization, so that the security of the data is improved, the burden of the system is reduced, the compliance and flexibility of medical data storage and access are enhanced, and the overall performance of users and the system is improved.

The invention discloses a character string data read optimization method based on a B + tree and a learning index. A learning index generated based on a machine learning (ML) model focuses on integer data of a fixed size, but is lack of consideration for character strings of variable lengths and is poor in performance in character string data. In order to solve the problem, the invention provides a character string slicing method which can convert a character string with a variable length into an integer with a fixed size for prediction and extract a common prefix from a character string key to reduce a model fitting error. According to the method, the characteristics of character string data are fully considered, complex multi-dimensional linear regression is simplified into one-dimensional linear regression, and the model calculation overhead is reduced. Besides, the invention provides a self-adaptive strategy to select a proper index to manage the calculation cost, the method for dynamically selecting the index nodes can utilize the advantages of the two index types to the maximum extent, and the calculation overhead is effectively reduced while the index efficiency is ensured.

The invention relates to the technical field of electric power data management, and provides a database table classification management method and system based on multi-modal fusion. The method comprises the following steps: extracting table information in a table in data, including metadata information and historical sql information of a table; on the basis of the extracted metadata information and historical sql information, constructing a feature vector of multi-modal fusion; for the existing database tables in the initial data table, based on the feature vectors of the database tables, calculating the distance between the feature vectors of each table, and adopting a hierarchical clustering method to perform clustering analysis on the data tables; specifying a storage scheme for each type of data table in the clustering result, and forming a storage scheme result of the existing database table; constructing an attention-based classification model based on a storage scheme result of the existing database table; and classifying the tables newly added into the database of the data table by adopting the classification model, and determining a storage scheme result of the newly added tables. According to the invention, the most reasonable storage scheme can be automatically allocated to the table.

The invention relates to the technical field of archive storage and management, and discloses an archive classification management method which comprises the following steps: constructing an alliance chain property block chain network and an I PFS file system; for the received multi-dimensional electronic archive set, performing clustering analysis on the electronic archive set to obtain an archive classification result of the electronic archive set; based on the number of the electronic archives in the archive classification result, the storage nodes are classified to obtain node classification results, and the node classification results are in one-to-one correspondence with the archive classification results; according to a node classification result, uploading and storing the classified electronic archive file through the corresponding storage node, generating a hash ID table related to the storage node, and classifying the hash ID table; and the block chain network generates the Hash ID table into a block according to the category and a block chain network operation mechanism, and stores the block into the block chain network.

The invention relates to a cache data management method and device, computer equipment and a storage medium. The method comprises the following steps: counting the access request frequency of each piece of data in unit time, and evaluating the access heat of the data according to the access request frequency; in response to the received access request of the target data and the frequency of the access request of the target data reaching a preset cache threshold, establishing a cache of the target data; determining a cache diffusion strategy according to the access popularity of the target data, determining a target diffusion node according to the cache diffusion strategy, and diffusing the target data to a cache service of the target diffusion node; and in response to the condition that the target data meets the preset failure condition, diffusion stopping and / or cache deleting of the target data are / is executed on the target data. By adopting the method, whether the cache needs to be established or not and whether cache diffusion needs to be performed or not can be determined according to the data access popularity, and the situation that low-frequency data occupy the cache space is avoided.

The invention relates to a memory allocation method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: receiving a memory allocation request of to-be-stored data to a memory database, wherein the memory allocation request comprises a data storage amount of the to-be-stored data; determining a target memory block from a virtual process space of the memory database according to the data storage amount; the virtual process space is a storage space mapped to a disk file based on a memory mapping mechanism, and data stored in the virtual process space is synchronously stored in the disk file; the size of the target memory block is greater than or equal to the data storage amount; and distributing the target memory block for the to-be-stored data, wherein the target memory block is used for storing the to-be-stored data. By adopting the method, the storage capacity and the storage efficiency of the memory database can be improved.

The invention discloses a two-stage data pool data loading method based on a CXL memory architecture. According to the method, a CXL memory serves as a cold data pool to store data with low use frequency, and a DRAM memory of a server node serves as a hot data pool to store data with high use frequency. When data in a CXL memory is used for many times, the data monitor judges whether the data can be transferred into hot data or not through a delay caching strategy and caches the hot data. In addition, a self-adaptive caching strategy is adopted to keep the hot data in a server for a certain time through a hot data pool, so that the application performance is improved. And dynamically learning a caching strategy by the hot data pool. And when the hot data is added or expelled every time, a caching strategy is selected according to the weight of the LRU-S, the weight of the LFU-S and the weight of the FIFO expert. And meanwhile, the hot data pool comprises a historical list, the decision regret expelling behavior of the cache strategy is allowed, and wrong decisions are punished.

The embodiment of the invention provides an archive management method and system based on big data analysis, and belongs to the technical field of data processing. The method comprises the steps of obtaining initial text data and initial image data corresponding to an initial user; performing deduplication processing on the initial text data to obtain target text data, and performing deduplication processing on the initial image data to obtain target image data; performing association relationship analysis on the target text data and the target image data to obtain a target relationship corresponding to the target text data and the target image data; performing text classification on the target text data to obtain a target type corresponding to the target text data; and performing data storage on the target text data and the target image data according to the target type and the target relationship to obtain a target storage result. The problems that in the prior art, the occupied storage space is increased and the data access and retrieval efficiency is reduced due to the fact that texts and images are often used as independent information units to be processed and an effective integration mechanism is lacked are solved.

Embodiments of the invention provide a data storage method and apparatus, a computer device, a storage medium and a program product, which can automatically perform classified storage on data objects, thereby reducing the data storage difficulty, saving the data storage cost, further reducing the management difficulty and management cost of the data objects, improving the access speed of the data, and improving the user experience. And the security of data storage is improved. The method comprises the following steps: acquiring a user-defined data storage strategy of a target server; acquiring historical access information of the target server; performing feature extraction on the historical access information to obtain feature access information; determining a dynamic data storage strategy of the target server according to the feature access information; determining a target data storage strategy of the target server according to the user-defined data storage strategy and the dynamic data storage strategy; and storing a to-be-stored data object in the target server according to the target data storage strategy.

The invention belongs to the technical field of data storage, and provides a partition-based video slice storage method and device, and the method comprises the steps: carrying out the analysis of a to-be-processed video through employing a YOLO algorithm based on the timestamp of a real-time video and the size of a fixed video, so as to construct video slices, and determining the weight corresponding to each video slice; constructing a timeline-based video partition and video slice mapping model based on the timestamps and the threshold values of the video slices; obtaining a to-be-processed video message by using the message-oriented middleware, and analyzing video slice data from the video message; and comparing the analyzed video slice data with the timestamps of the video partitions according to the constructed mapping model so as to determine a storage position. According to the method, the newly added video partitions and video fragments can be quickly determined, and the video time point can be quickly positioned.

The invention relates to the field of data caching, and discloses a distributed caching method, system and device based on a database and a JVM. A host information table in a database is obtained, and nodes are configured according to the host information table, so that a distributed cluster is constructed; any node in the distributed cluster is used as a Me host, and the remaining nodes in the distributed cluster are used as Bro hosts; in response to a request instruction of any cache object, the corresponding cache object in the cache of the Me host is obtained for response according to the request instruction, and the request instruction comprises at least one of a deletion request, an updating request and an obtaining request; according to the response result, the request instruction is sent to the cache service of the Bro host according to the user identifier, distributed cache processing is achieved, no time consumed by network communication and deserialization exists, and at least 10-25 ms time delay is saved; through the distributed cache, the access speed of the data is improved, and the expansibility and fault tolerance of the system are enhanced.

The embodiment of the invention provides a directory traversal method and device, a storage medium and electronic equipment, and relates to the field of computers.The directory traversal method comprises the steps that a directory traversal request sent by a client side is received, the directory traversal request carries an offset parameter, and the offset parameter is used for indicating the initial position of traversal of a directory; and under the condition that the offset parameter is greater than 0 and the file index information matched with the offset parameter exists in the cache, reading N directory entries from the cache based on the file index information, and returning the N directory entries to the client, N being a positive integer greater than 1.

The invention provides a web page loading speed optimization method and device, and the method comprises the steps: carrying out the optimization of a network layer, so as to reduce the network delay and server load; static resources are optimized to reduce the resource volume and the loading time; and browser rendering is optimized, so that the page rendering efficiency and the user experience are improved. The web page loading speed optimization method and device have the advantages that through intelligent network acceleration, refined resource management and user perception oriented rendering optimization, the page loading time can be effectively shortened, and the user access speed is increased; and the access frequency and the update frequency of the resources are intelligently predicted by using a machine learning algorithm, and the cache strategy is dynamically adjusted, so that the cache hit rate can be effectively improved, the network request times are reduced, and the page loading speed is further improved.

The invention discloses a mutual trust switching method of remote applications driven by a cloud native gateway, which relates to the technical field of mutual trust switching and comprises the following steps: establishing a user identity authentication channel, and determining an access priority strategy; generating a station transfer token, and sending a first request instruction; analyzing the starting login site information of the user; detecting activity according to the operation state of the sequential system, generating a second request instruction, and sending the second request instruction to the central gateway; configuring an application system address, and forwarding the first request instruction to a target application system; judging whether the first request instruction is credible or not, if yes, obtaining a local application system user permission, loading a local application system function, and displaying a current service system identifier; and setting a public drop-down list component, and switching to different business system services in various regions through the component. According to the method and the device, the technical problems of low switching process response speed and unsafe cross-system access during remote application switching in the prior art are solved, and the technical effect of improving the cross-system access speed and safety is achieved.

The present invention discloses a method for fast transmission of broadband and narrowband data, an edge server and a terminal device. The terminal device responds to a user's search request and inquires whether there is a local cache. If there is a local cache, the data is first read from the local cache and returned to the user; regardless of whether there is a cache, the terminal device will request the content from the edge server to obtain a response from the edge server; if the edge server has a cache, the cache is returned to the terminal device so that the terminal device updates its cache content. Regardless of whether the cache exists or not, the edge server will access the cloud server, obtain the response and return it to the terminal device first, and at the same time determine whether the requested content is a hot spot, and according to the determination result, create, update or clear the cache content in the edge server. The present invention can reduce the network and server load, reduce network traffic, and effectively avoid the problem of excessive cache data affecting the performance of the edge server.

The invention discloses a computer expansion card and a computer system, which are used in the field of computer data processing, and the computer expansion card comprises an expansion card printed circuit board, a network communication module, a bus interface module, an intelligent analysis module and an expansion card memory, the expansion card printed circuit board is used for installing the network communication module, the bus interface module, the intelligent analysis module and the expansion card memory and providing communication connection among the network communication module, the bus interface module, the intelligent analysis module and the expansion card memory; the network communication module is used for data exchange and communication between a communication protocol and an external network; the bus interface module is used for connecting the expansion card to a mainboard of a computer system through a standard bus protocol; the intelligent analysis module is used for optimizing the performance of the computer system by utilizing parallel computing, task unloading, algorithm loading and data caching mechanisms; and the expansion card memory is used for storing data. According to the method, the data repeated reading time is shortened, and the data access speed is optimized.

The embodiment of the invention provides a debugging method and device, electronic equipment, a storage medium and a computer program product, the debugging method is applied to a processor, the debugging method comprises the steps that an insertion enable signal is acquired, and the insertion enable signal is used for indicating an instruction fetching position of the processor; under the condition that the insertion enable signal is the first enable signal, taking out an original instruction from a target buffer area of the processor, and executing the original instruction; wherein the first enable signal represents that the processor fetches an instruction from a target buffer area, and the target buffer area is used for storing an original instruction at a target address where the breakpoint instruction is inserted.

The invention discloses a data transmission circuit and method based on data disassembly, the data transmission circuit comprises a data splitter, a data memory, a data transmitter and a data receiving controller, the data splitter is used for splitting received data to form a plurality of data units; the data memory is connected with the data splitter, receives and stores the data unit sent by the data splitter, and generates a corresponding first pointer signal at the same time; the data transmitter is connected with the data memory, reads data from the data memory and generates a corresponding second pointer signal at the same time; and the data receiving controller is connected with the data memory and the data transmitter respectively, receives the first pointer signal and the second pointer signal and judges whether data can be received according to the first pointer signal and the second pointer signal. According to the invention, the multi-bit data is disassembled into a plurality of data units, and whether to receive new data is selected according to the dynamic change of the actual demand, so that the data access speed and the data transmission efficiency are improved, the bus competition is reduced, and the energy consumption is reduced.

The utility model discloses a single stand column steel wire rope stacking machine and warehouse system, the steel wire rope sets up in the outside of stand column, single stand column steel wire rope stacking machine includes the cargo platform, and the steel wire rope is connected and drives the cargo platform to go up and down. The cargo platform is connected with the anti -fall mechanism, and the anti -fall mechanism is sleeved on the brake guide rail of stand column, including drive swing rod and brake block, and the brake block has brake gap with brake guide rail, and drive swing rod includes fixed end and movable end, and movable end of drive swing rod is connected in brake block, and the cargo platform is provided with brake cable, and brake cable connects movable end of drive swing rod, when the cargo platform loses speed and falls, brake cable drives drive swing rod swing, and drive swing rod drives brake block to move to be close to brake guide rail, to prevent the cargo platform from falling.

The invention discloses an LU-SGS implicit propulsion calculation method under an adaptive Cartesian grid, which relates to the field of numerical simulation, and comprises the following steps: step 1: generating an equidistant and uniform initial Cartesian grid based on a size parameter, a motion parameter and aerodynamic parameter of an aircraft model, and allocating a multidimensional array number to each grid according to a dimension of space; step 2: performing a fork tree adaptive encryption on the grid within a preset range of an object surface boundary based on a geometric shape of the aircraft model, and generating an adaptive Cartesian grid required for calculation; step 3: sorting the generated adaptive Cartesian grid to obtain a sorting result; step 4: performing an LU-SGS implicit propulsion calculation based on the sorting result to obtain a numerical simulation calculation result of the aircraft model; the method can realize the LU-SGS implicit propulsion calculation under an adaptive Cartesian grid, thereby accelerating convergence to improve calculation efficiency.

The invention discloses a VNode architecture design for improving multi-thread efficiency based on an NUMA (Non Uniform Memory Access) system, which belongs to the field of virtual node VNode architectures and comprises a client and N virtual nodes (VNode). According to the technical scheme, by distributing the working threads and the memory data to the same NUMA node, delay caused by far-end memory access is reduced, so that the data access speed and the overall performance are remarkably improved, the architecture can better utilize hardware resources of a server, a working thread group on each NUMA node can be customized according to CPU and memory configuration of the node, and the service life of the NUMA node is prolonged. According to the method, resources are reasonably distributed and efficiently utilized, the service is divided into a plurality of virtual nodes, so that the architecture is excellent in expandability, and in a distributed system, each virtual node can be regarded as an independent unit, which means that when a certain node fails, the virtual node can be used as an independent unit. And the influence range can be limited in the node without affecting other nodes.

The present invention relates to the field of file management technology, and in particular to a Hive small file management method, the method comprising: setting an initial cleaning cycle, regularly cleaning the generated small files to obtain regular cleaning results; real-time monitoring of the generation of small files, and determining whether the small files are abnormal based on the generation; determining the abnormality level of the small files based on the abnormality of the small files; determining a small file management strategy based on the abnormality level, and determining a management score based on running the small file management strategy; calculating an overall performance score based on the regular cleaning results combined with the management score; adjusting the initial cleaning cycle based on the overall performance score, or optimizing the management strategy. The present invention reduces the need for manual intervention, improves efficiency, avoids the accumulation of small files and performance degradation, and ensures the efficient operation of the management process through comprehensive management from regular cleaning to performance scoring to strategy optimization.

The invention discloses a distributed system data access method and device, equipment and a storage medium, and relates to the technical field of data processing. The method comprises the following steps: determining target type data in a distributed system, and storing the target type data by utilizing a distributed cache database; the target type data is high-frequency access type data; creating a corresponding timed updating task for each piece of target type data, and adding a data acquisition method of each piece of target type data to a data updating service; when the timed updating task is executed, a corresponding data obtaining method in the data updating service is called to obtain latest data of the target type data, and the distributed cache database is updated according to the latest data; and querying the distributed cache database according to a data query instruction, and if a query result is null, querying a main database of the distributed system according to the query instruction. The data access efficiency of the distributed system can be improved.

The embodiment of the invention provides a page processing method and device, electronic equipment, a storage medium and a product. The page processing method comprises the steps that the current triggering opportunity in an application program and a current triggering object associated with the current triggering opportunity are determined, the current triggering opportunity indicates the opportunity for processing follow-up pages at present, and the current triggering object comprises an object identifying a page to be displayed in the current triggering opportunity; operation information associated with the current triggering time and the current triggering object and a to-be-displayed page jointly identified by the current triggering time and the current triggering object are determined in configuration information, and the operation information indicates the operation of storing the to-be-displayed page in the storage space of the application program; and processing the page to be displayed according to the operation information. The access speed of the to-be-displayed page is increased, and the balance of the storage space is controlled.